This thesis provides an approach for parameter identification in general semilinear parabolic partial differential equations. The problem of of parameter identification in these equations is investigated from two different angles. On one hand, Tikhonov regularization is proposed to deal with possible non continuous dependence of the parameters on the data and on the other hand the uniqueness of a solution of the parameter identification problem is discussed. Additionally, numerical results are shown that support the theoretical findings
AbstractThe task of identifying inhomogeneous (position-dependent) coefficients of linear dynamic pa...
The problem of parametric drift estimation for semilinear stochastic partial differential equations ...
This dissertation presents a redefined operator splitting method used in solving semilinear paraboli...
This thesis provides an approach for parameter identification in general semilinear parabolic partia...
This thesis provides an approach for parameter identification in general semilinear parabolic partia...
This work contributes to the analysis of a parameter identification task for a certain type of parab...
This work contributes to the analysis of a parameter identification task for a certain type of parab...
AbstractThe theory of identification of variable coefficients in parabolic distributed parameter sys...
A large variety of natural, industrial, and environmental systems involves phenomena that are contin...
AbstractThe problem of identification of the diffusion coefficient in the partial differential equat...
This thesis aims at studying the identifiability of an epidemiological model described by semilinear...
summary:We briefly discuss an abstract approximation framework and a convergence theory of parameter...
A large variety of natural, industrial, and environmental systems involves phenomena that are contin...
Les systèmes décrits par les équations aux dérivées partielles, appartiennent à la classe des systèm...
An abstract approximation framework for the identification of nonlinear distributed parameter system...
AbstractThe task of identifying inhomogeneous (position-dependent) coefficients of linear dynamic pa...
The problem of parametric drift estimation for semilinear stochastic partial differential equations ...
This dissertation presents a redefined operator splitting method used in solving semilinear paraboli...
This thesis provides an approach for parameter identification in general semilinear parabolic partia...
This thesis provides an approach for parameter identification in general semilinear parabolic partia...
This work contributes to the analysis of a parameter identification task for a certain type of parab...
This work contributes to the analysis of a parameter identification task for a certain type of parab...
AbstractThe theory of identification of variable coefficients in parabolic distributed parameter sys...
A large variety of natural, industrial, and environmental systems involves phenomena that are contin...
AbstractThe problem of identification of the diffusion coefficient in the partial differential equat...
This thesis aims at studying the identifiability of an epidemiological model described by semilinear...
summary:We briefly discuss an abstract approximation framework and a convergence theory of parameter...
A large variety of natural, industrial, and environmental systems involves phenomena that are contin...
Les systèmes décrits par les équations aux dérivées partielles, appartiennent à la classe des systèm...
An abstract approximation framework for the identification of nonlinear distributed parameter system...
AbstractThe task of identifying inhomogeneous (position-dependent) coefficients of linear dynamic pa...
The problem of parametric drift estimation for semilinear stochastic partial differential equations ...
This dissertation presents a redefined operator splitting method used in solving semilinear paraboli...